• DocumentCode
    2521049
  • Title

    Black-box modelling of the induction motor

  • Author

    Yaacob, Sazali ; Mohamed, Faisal A.

  • Author_Institution
    Dept. of Electr. Eng., Malaya Univ., Kuala Lumpur, Malaysia
  • fYear
    1998
  • fDate
    29-31 Jul 1998
  • Firstpage
    883
  • Lastpage
    886
  • Abstract
    This paper is concerned with the black-box modelling of the induction motor from test data. Data obtained using a computer-based data acquisition card, the aim of the work described in this paper is to obtain linear model of the induction motor directly from test data. A pseudo random binary sequence (PRBS) was chosen as the test input signal. Data once collected was downloaded to the PC. The process of modelling and validation is then carried out using a MATLAB package. In this application a noise/disturbance free model structure (ARMAX) was assumed
  • Keywords
    autoregressive moving average processes; data acquisition; electric machine analysis computing; induction motors; machine theory; ARMAX structure; MATLAB package; PRBS; black-box modelling; computer-based data acquisition card; disturbance free model structure; induction motor; noise free model structure; pseudo random binary sequence; test data; DC motors; Data acquisition; Induction motors; Parameter estimation; Power system modeling; Predictive models; Signal design; Synchronous motors; System identification; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE '98. Proceedings of the 37th SICE Annual Conference. International Session Papers
  • Conference_Location
    Chiba
  • Type

    conf

  • DOI
    10.1109/SICE.1998.742935
  • Filename
    742935